Detection of Micro-Defects on Metal Screw Surfaces Based on Deep Convolutional Neural Networks
Detection of Micro-Defects on Metal Screw Surfaces Based on Deep Convolutional Neural Networks
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Publisher
Switzerland: MDPI
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Language
English
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Switzerland: MDPI
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This paper proposes a deep convolutional neural network (CNN) -based technique for the detection of micro defects on metal screw surfaces. The defects we consider include surface damage, surface dirt, and stripped screws. Images of metal screws with different types of defects are collected using industrial cameras, which are then employed to train...
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Full title
Detection of Micro-Defects on Metal Screw Surfaces Based on Deep Convolutional Neural Networks
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TN_cdi_doaj_primary_oai_doaj_org_article_692f925f6df440fe86988ff0433693af
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_692f925f6df440fe86988ff0433693af
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s18113709
